-
2
-
-
84869158135
-
Finding Frequent Items in Data Streams
-
th International Colloquium on Automata, Languages, and Programming, 2002, 693-703.
-
(2002)
th International Colloquium on Automata, Languages, and Programming
, pp. 693-703
-
-
Charikar, M.1
Chen, K.2
Farach-Colton, M.3
-
3
-
-
12244291514
-
Incspan: Incremental Mining of Sequential Patterns in Large Database
-
X. Cheng, X. Yan and J. Han, Incspan: Incremental Mining of Sequential Patterns in Large Database, In Proc. of KDD'04, 2004.
-
(2004)
Proc. of KDD'04
-
-
Cheng, X.1
Yan, X.2
Han, J.3
-
4
-
-
0029733589
-
Maintenance of Discovered Association Rules in Large Databases: An Incremental Update Technique
-
D. Cheung, J. Han, V. Ng and C. Wong, Maintenance of Discovered Association Rules in Large Databases: an Incremental Update Technique, In Proc. of ICDE'93, 1996.
-
(1996)
Proc. of ICDE'93
-
-
Cheung, D.1
Han, J.2
Ng, V.3
Wong, C.4
-
5
-
-
19544377965
-
Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window
-
Y. Chi, H. Wang, P.S. Yu and R.R. Muntz, Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window, In Proc. of ICDM'04, 2004.
-
(2004)
Proc. of ICDM'04
-
-
Chi, Y.1
Wang, H.2
Yu, P.S.3
Muntz, R.R.4
-
8
-
-
0036102015
-
Adaptive Sampling Methods for Scaling up Knowledge Discovery Algorithms
-
C. Domingo, R. Gavaldà and O. Watanabe, Adaptive Sampling Methods for Scaling up Knowledge Discovery Algorithms, Proc. of DMKD'02, 6, 2002.
-
(2002)
Proc. of DMKD'02
, vol.6
-
-
Domingo, C.1
Gavaldà, R.2
Watanabe, O.3
-
9
-
-
2942536418
-
Active Mining of Data Streams
-
W. Fan, Y.-A. Huang, H. Wang and P.-S. Yu, Active Mining of Data Streams, In Proc. of the SIAM International Conference on Data Mining, 2004, 457-461.
-
(2004)
Proc. of the SIAM International Conference on Data Mining
, pp. 457-461
-
-
Fan, W.1
Huang, Y.-A.2
Wang, H.3
Yu, P.-S.4
-
10
-
-
10044238664
-
Mining Frequent Patterns in Data Streams at Multiple Time Granularities
-
MIT Press
-
G. Giannella, J. Han, J. Pei, X. Yan and P. Yu, Mining Frequent Patterns in Data Streams at Multiple Time Granularities, In Next Generation Data Mining, MIT Press, 2003.
-
(2003)
Next Generation Data Mining
-
-
Giannella, G.1
Han, J.2
Pei, J.3
Yan, X.4
Yu, P.5
-
12
-
-
2442617843
-
Issues in Data Stream Management, (Vol. 2), ACM
-
L. Golab and M.T. Ozsu, Issues in Data Stream Management, (Vol. 2), ACM SIGMOD Records, 2003, 5-14.
-
(2003)
SIGMOD Records
, pp. 5-14
-
-
Golab, L.1
Ozsu, M.T.2
-
14
-
-
0034593066
-
Freespan: Frequent Pattern-Projected Sequential Pattern Mining
-
J. Han, J. Pei, B. Mortazavi-asl, Q. Chen, U. Dayal and M. Hsu, Freespan: Frequent Pattern-Projected Sequential Pattern Mining, In Proc. of KDD'00, 2000.
-
(2000)
Proc. of KDD'00
-
-
Han, J.1
Pei, J.2
Mortazavi-asl, B.3
Chen, Q.4
Dayal, U.5
Hsu, M.6
-
15
-
-
8644256210
-
Dynamically Maintaining Frequent Items Over a Data Stream
-
ACM Press
-
C. Jin, W. Qian, C. Sha, J.-X. Yu and A. Zhou, Dynamically Maintaining Frequent Items Over a Data Stream, In Proc. of CIKM'03. ACM Press, 2003.
-
(2003)
Proc. of CIKM'03
-
-
Jin, C.1
Qian, W.2
Sha, C.3
Yu, J.-X.4
Zhou, A.5
-
16
-
-
0003269205
-
A Fast, Bottom-up Decision Tree Pruning Algorithm with Near-Optimal Generalization
-
M.J. Kearns and Y. Mansour, A Fast, Bottom-up Decision Tree Pruning Algorithm with Near-Optimal Generalization, In Proc. of ICML'98, 1998.
-
(1998)
Proc. of ICML'98
-
-
Kearns, M.J.1
Mansour, Y.2
-
18
-
-
0346354497
-
Approximate Frequency Counts Over Data Streams
-
G. Manku and R. Motwani, Approximate Frequency Counts Over Data Streams, In Proc. of VLDB'02, 2002.
-
(2002)
Proc. of VLDB'02
-
-
Manku, G.1
Motwani, R.2
-
21
-
-
0033281518
-
Some PAC-Bayesian Theorems, (Vol. 37)
-
D. McAllester, Some PAC-Bayesian Theorems, (Vol. 37), Machine Learning, 1999, 355-363.
-
(1999)
Machine Learning
, pp. 355-363
-
-
McAllester, D.1
-
24
-
-
0141719772
-
-
T. Scheffer and S. Wrobel, Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling, (3), Proc. of JMLR'02, 2002.
-
T. Scheffer and S. Wrobel, Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling, (Vol. 3), Proc. of JMLR'02, 2002.
-
-
-
-
26
-
-
85012188661
-
A Regression-Based Temporal Patterns Mining Schema for Data Streams
-
W.-G. Teng, M.-S. Chen and P.S. Yu, A Regression-Based Temporal Patterns Mining Schema for Data Streams, In Proc. of VLDB'03, 2003.
-
(2003)
Proc. of VLDB'03
-
-
Teng, W.-G.1
Chen, M.-S.2
Yu, P.S.3
-
27
-
-
0002663969
-
Sampling Large Databases for Association Rules
-
H. Toivonen, Sampling Large Databases for Association Rules, In Proc. of VLDB'96, 1996.
-
(1996)
Proc. of VLDB'96
-
-
Toivonen, H.1
-
30
-
-
41849098235
-
Mining Concept-Drifting Data Streams with Ensemble Classifiers
-
D. Wettschereck and D. Aha, Mining Concept-Drifting Data Streams with Ensemble Classifiers, In Proc. of KDD'03, 2003.
-
(2003)
Proc. of KDD'03
-
-
Wettschereck, D.1
Aha, D.2
-
31
-
-
0036373130
-
Mining Long Sequential Patterns in a Noisy Environment
-
J. Yang, W. Wang, P.-S. Yu and J. Han, Mining Long Sequential Patterns in a Noisy Environment, In Proc. of the ACM SIGMOD International Conference on Management of Data, 2002, 406-417.
-
(2002)
Proc. of the ACM SIGMOD International Conference on Management of Data
, pp. 406-417
-
-
Yang, J.1
Wang, W.2
Yu, P.-S.3
Han, J.4
-
32
-
-
0034826102
-
SPADE: An Efficient Algorithm for Mining Frequent Sequences
-
M.J. Zaki, SPADE: An Efficient Algorithm for Mining Frequent Sequences, Machine Learning Journal, 42, 2001.
-
(2001)
Machine Learning Journal
, vol.42
-
-
Zaki, M.J.1
|